Linear discriminant function

2002 ◽  
pp. 137-214
Author(s):  
Michail I. Schlesinger ◽  
Václav Hlaváč
Keyword(s):  
Discriminant Function ◽  
Linear Discriminant Function ◽  
Linear Discriminant

scholarly journals A Method for the Statistical Selection of a Panel of Rum Tasters

1969 ◽  
Vol 60 (1) ◽  
pp. 105-112
Author(s):  
Calixta S. Torres ◽  
Juan L. Aguiar ◽  
Eleanor F. Gotay
Keyword(s):  
Discriminant Function ◽  
Agricultural Research ◽  
Research Unit ◽  
Latin Squares ◽  
Linear Discriminant Function ◽  
Evaluation Index ◽  
Statistical Techniques ◽  
Linear Discriminant ◽  
Statistical Selection ◽  
Selection Of

Employees of an agricultural research unit were evaluated for selection as rum tasters. Prospects were classified and ranked considering their relative consistency in four organoleptic tests of four rum samples and their evaluation relative to those of an experienced rum taster. Statistical techniques used were variance analysis of Latin squares for the scores of the evaluation of 10 rum attributes and the calculation of a rum evaluation index for each taster using a linear discriminant function.

Obsidian Blades from La Blanca, a Changing Lithic Industry on the South Coast of Guatemala

1991 ◽  
Vol 2 (4) ◽  
pp. 371-383 ◽  
Author(s):  
C. Roger Nance ◽  
Katharine A. Kirk
Keyword(s):  
Low Power ◽  
Discriminant Function ◽  
Linear Discriminant Function ◽  
South Coast ◽  
Linear Discriminant ◽  
Bipolar Technology ◽  
Lithic Industry ◽  
Edge Wear ◽  
Middle Preclassic ◽  
Discriminant Function Analyses

In a study of Middle Preclassic (Conchas phase) ceramics from the site of La Blanca, Love (1989) derived a sequence of four subphases. Here, the focus is on 431 prismatic obsidian blades excavated from the same deposits in order to discern if patterns of change can be discovered in this lithic industry. For each blade, recorded attributes describe blade dimensions and edge wear, as observed through low-power microscopy. Chronological controls were set by ceramic associations. Through the sequence, blades became smaller and more fragmentary, due, we hypothesized, to an increasing scarcity of obsidian. As predicted from these trends, we found that wear patterns became more pronounced through time, and use of a bipolar technology became increasingly important for removing (rejuvenating) worn lateral edges. A definite obsidian-blade sequence emerged, which was investigated through linear discriminant-function analyses.

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